资源类型

期刊论文 1674

年份

2024 3

2023 137

2022 157

2021 129

2020 139

2019 126

2018 105

2017 108

2016 76

2015 89

2014 57

2013 45

2012 38

2011 45

2010 49

2009 50

2008 55

2007 71

2006 48

2005 36

展开 ︾

关键词

遗传算法 10

优化 7

神经网络 7

可持续发展 5

多目标优化 4

机器学习 4

目标识别 4

预测 4

BP神经网络 3

COVID-19 3

算法 3

CAN总线 2

Cu(In 2

GIS 2

GPS 2

HY-2 2

TMS320DM642 2

Weibull分布 2

展开 ︾

检索范围：

排序： 展示方式：

Multi-objective optimization for the multi-mode finance-based project scheduling problem

Sameh Al-SHIHABI, Mohammad AlDURGAM

《工程管理前沿（英文）》 2020年 第7卷 第2期   页码 223-237 doi: 10.1007/s42524-020-0097-1

摘要： The finance-based scheduling problem (FBSP) is about scheduling project activities without exceeding a credit line financing limit. The FBSP is extended to consider different execution modes that result in the multi-mode FBSP (MMFBSP). Unfortunately, researchers have abandoned the development of exact models to solve the FBSP and its extensions. Instead, researchers have heavily relied on the use of heuristics and meta-heuristics, which do not guarantee solution optimality. No exact models are available for contractors who look for optimal solutions to the multi-objective MMFBSP. CPLEX, which is an exact solver, has witnessed a significant decrease in its computation time. Moreover, its current version, CPLEX 12.9, solves multi-objective optimization problems. This study presents a mixed-integer linear programming model for the multi-objective MMFBSP. Using CPLEX 12.9, we discuss several techniques that researchers can use to optimize a multi-objective MMFBSP. We test our model by solving several problems from the literature. We also show how to solve multi-objective optimization problems by using CPLEX 12.9 and how computation time increases as problem size increases. The small increase in computation time compared with possible cost savings make exact models a must for practitioners. Moreover, the linear programming-relaxation of the model, which takes seconds, can provide an excellent lower bound.

关键词： multi-objective optimization     finance-based scheduling     multi-mode project scheduling     mixed-integer linear programming     CPLEX    

HTML PDF 收藏

An overview of the environmental finance policies in China: retrofitting an integrated mechanism for

LI Wei,HU Mengze

《环境科学与工程前沿（英文）》 2014年 第8卷 第3期   页码 316-328 doi: 10.1007/s11783-014-0625-5

摘要： Considering the significant roles of the policies in developing environmental finance, an overview is conducted on the environmental finance policies (EFPs) in China. This paper analyzed the definition, scope, evolution and main instruments of EFPs. The implementation progress of financial activities on each instrument are investigated respectively. Then the experiences learned from and failures discovered in the development of the EFPs are discussed well recommendations for further improvement of the EFPs and their implementation are provided. Our study found that the EFPs have been established in China after a four-phase evolution since the early 1980s. The policies have played a critical role in leading to a rapid development in environmental finance by involving more financial instruments to accomplish the objective-led environmental plans. Driven by the policies, the new green credit (GC), green security (GS), and green insurance (GI) instruments have been phased in as supplements to the conventional command and control approaches to improve the environmental governance of financial activities and pollution sources. However, the market mechanism of financial institution is limited due to their defensive and incapable performance on implementation some of EFP instruments. To further strengthen the effectiveness of EFPs in facilitating environmental management, recommendations are made mainly on the aspects including developing more specific policy guidelines, enhancing information sharing and disclosure, providing sufficient economic incentives, establishing environmental liabilities with financial activities, and involving issues related to climate change, and biodiversity and ecosystem service.

关键词： environmental finance policy     integrated mechanism     phased evolution     implementation progress     financial institution     environmental management    

HTML PDF 收藏

A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

《机械工程前沿（英文）》 2020年 第15卷 第2期   页码 338-350 doi: 10.1007/s11465-019-0572-8

摘要： Low-carbon manufacturing (LCM) is increasingly being regarded as a new sustainable manufacturing model of carbon emission reduction in the manufacturing industry. In this paper, a two-stage low-carbon scheduling optimization method of job shop is presented as part of the efforts to implement LCM, which also aims to reduce the processing cost and improve the efficiency of a mechanical machining process. In the first stage, a task assignment optimization model is proposed to optimize carbon emissions without jeopardizing the processing efficiency and the profit of a machining process. Non-dominated sorting genetic algorithm II and technique for order preference by similarity to an ideal solution are then adopted to assign the most suitable batch task of different parts to each machine. In the second stage, a processing route optimization model is established to plan the processing sequence of different parts for each machine. Finally, niche genetic algorithm is utilized to minimize the makespan. A case study on the fabrication of four typical parts of a machine tool is demonstrated to validate the proposed method.

关键词： Low-carbon manufacturing     carbon efficiency     multi-objective optimization     two-stage scheduling     job shop    

HTML PDF 收藏

Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

《工程管理前沿（英文）》 2018年 第5卷 第4期   页码 507-514 doi: 10.15302/J-FEM-2018045

摘要：

The NP-hard scheduling problems of semiconductor manufacturing systems (SMSs) are further complicated by stochastic uncertainties. Reactive scheduling is a common dynamic scheduling approach where the scheduling scheme is refreshed in response to real-time uncertainties. The scheduling scheme is overly sensitive to the emergence of uncertainties because the optimization of performance (such as minimum make-span) and the system robustness cannot be achieved simultaneously by conventional reactive scheduling methods. To improve the robustness of the scheduling scheme, we propose a novel slack-based robust scheduling rule (SR) based on the analysis of robustness measurement for SMS with uncertain processing time. The decision in the SR is made in real time given the robustness. The proposed SR is verified under different scenarios, and the results are compared with the existing heuristic rules. Simulation results show that the proposed SR can effectively improve the robustness of the scheduling scheme with a slight performance loss.

关键词： semiconductor manufacturing system     uncertain processing time     dynamic scheduling     slack-based robust scheduling rule    

HTML PDF 收藏

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

《能源前沿（英文）》 doi: 10.1007/s11708-023-0912-6

摘要： With the promotion of “dual carbon” strategy, data center (DC) access to high-penetration renewable energy sources (RESs) has become a trend in the industry. However, the uncertainty of RES poses challenges to the safe and stable operation of DCs and power grids. In this paper, a multi-timescale optimal scheduling model is established for interconnected data centers (IDCs) based on model predictive control (MPC), including day-ahead optimization, intraday rolling optimization, and intraday real-time correction. The day-ahead optimization stage aims at the lowest operating cost, the rolling optimization stage aims at the lowest intraday economic cost, and the real-time correction aims at the lowest power fluctuation, eliminating the impact of prediction errors through coordinated multi-timescale optimization. The simulation results show that the economic loss is reduced by 19.6%, and the power fluctuation is decreased by 15.23%.

关键词： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed power supply     landscape uncertainty    

HTML PDF 收藏

Blockchain-driven supply chain finance solution for small and medium enterprises

Jian LI, Shichao ZHU, Wen ZHANG, Lean YU

《工程管理前沿（英文）》 2020年 第7卷 第4期   页码 500-511 doi: 10.1007/s42524-020-0124-2

摘要： Blockchain has attracted much attention in recent years with the development of cryptocurrency and digital assets. As the underlying technology of cryptocurrency, blockchain has numerous benefits, such as de-centralization, collective maintenance, tamper-resistance, traceability, and anonymity. The potential of the blockchain technology (BT) is widely recognized in the financial field. Although some scholars have proposed the combination of blockchain and supply chain finance (SCF), the details of this combination is rarely mentioned. This study first analyzes the coupling between SCF and blockchain technology. Second, the conceptual framework of blockchain-driven SCF platform (BcSCFP) is presented. Third, the operation process of three SCF models on the BcSCFP is proposed. Finally, a case study combined with actual events is conducted. This paper has a positive practical significance in the operation and management of banks and loan enterprises.

关键词： blockchain technology     supply chain finance     risk management     smart contract     decentralization    

HTML PDF 收藏

Finance infrastructure through blockchain-based tokenization

Yifeng TIAN, Zheng LU, Peter ADRIAENS, R. Edward MINCHIN, Alastair CAITHNESS, Junghoon WOO

《工程管理前沿（英文）》 2020年 第7卷 第4期   页码 485-499 doi: 10.1007/s42524-020-0140-2

摘要： The infrastructure finance gap has long-standing implications for economic and social development. Owing to low efficiency, high transaction costs, and long transaction time, conventional infrastructure financing instruments are considered to be major contributors to the increasing mismatch between the need for infrastructure development and available financing. Implemented through smart contracts, blockchain tokenization has shown characteristics that are poised to change the capital stack of infrastructure investment. This study analyzed the first SEC-compliant energy asset security token, ZiyenCoin, from the perspective of the key participants, relevant regulations, and token offering procedures. Results show that tokenization can improve infrastructure assets liquidity, transaction efficiency, and transparency across intermediaries. Conventional infrastructure financing instruments were compared with blockchain tokenization by reviewing the literature on infrastructure finance. The benefits and barriers of tokenizing infrastructure assets were thoroughly discussed to devise ways of improving infrastructure financing. The study also found that the potential of tokenization has not yet been fully realized because of the limited technical infrastructures, regulation uncertainties, volatilities in the token market, and absence of the public sector. This study contributes to the present understanding of how blockchain technology can be implemented in infrastructure finance and the role of tokenization in the structure of public–private partnership and project finance.

关键词： infrastructure asset     blockchain     tokenization     security token offering     smart contract     public–private partnership     project finance    

HTML PDF 收藏

Optimization of multi-objective integrated process planning and scheduling problem using a priority based

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

《机械工程前沿（英文）》 2015年 第10卷 第4期   页码 392-404 doi: 10.1007/s11465-015-0353-y

摘要：

For increasing the overall performance of modern manufacturing systems, effective integration of process planning and scheduling functions has been an important area of consideration among researchers. Owing to the complexity of handling process planning and scheduling simultaneously, most of the research work has been limited to solving the integrated process planning and scheduling (IPPS) problem for a single objective function. As there are many conflicting objectives when dealing with process planning and scheduling, real world problems cannot be fully captured considering only a single objective for optimization. Therefore considering multi-objective IPPS (MOIPPS) problem is inevitable. Unfortunately, only a handful of research papers are available on solving MOIPPS problem. In this paper, an optimization algorithm for solving MOIPPS problem is presented. The proposed algorithm uses a set of dispatching rules coupled with priority assignment to optimize the IPPS problem for various objectives like makespan, total machine load, total tardiness, etc. A fixed sized external archive coupled with a crowding distance mechanism is used to store and maintain the non-dominated solutions. To compare the results with other algorithms, a C-matric based method has been used. Instances from four recent papers have been solved to demonstrate the effectiveness of the proposed algorithm. The experimental results show that the proposed method is an efficient approach for solving the MOIPPS problem.

关键词： integrated process planning and scheduling (IPPS)     dispatching rules     priority based optimization algorithm     multi-objective optimization    

HTML PDF 收藏

Developing a new model for simultaneous scheduling of two grand projects based on game theory and solving

Loghman PIRI, Vahidreza GHEZAVATI, Ashkan HAFEZALKOTOB

《工程管理前沿（英文）》 2022年 第9卷 第1期   页码 117-134 doi: 10.1007/s42524-020-0115-3

摘要： Grand infrastructure projects, such as dam, power plant, petroleum, and gas industry projects, have several contractors working on them in several independent sub-projects. The concern of reducing the duration of these projects is one of the important issues among various aspects; thus, our aim is to fulfill the requirements by using the game theory approach. In this study, a mixed-integer programming model consisting of game theory and project scheduling is developed to reduce the duration of projects with a minimum increase in costs. In this model, two contractors in successive periods are entered into a step-by-step competition by the employer during dynamic games, considering an exchange in their limited resources. The optimum solution of the game in each stage are selected as the strategy, and the resources during the game are considered to be renewable and limited. The strategy of each contractor can be described as follows: 1) share their resources with the other contractor and 2) not share the resources with the other contractor. This model can act dynamically in all circumstances during project implementation. If a player chooses a non-optimum strategy, then this strategy can immediately update itself at the succeeding time period. The proposed model is solved using the exact Benders decomposition method, which is coded in GAMS software. The results suggest the implementation of four step-by-step games between the contractors. Then, the results of our model are compared with those of the conventional models. The projects’ duration in our model is reduced by 22.2%. The nominal revenue of both contractors has also reached a significant value of 46078 units compared with the relative value of zero units in the original model. Moreover, we observed in both projects the decreases of 19.5%, 20.9%, and 19.7% in the total stagnation of resources of types 1, 2, and 3, respectively.

关键词： project scheduling     resource leveling between projects     constrained resources     game theory     Benders decomposition    

HTML PDF 收藏

MAS-based production scheduling system for manufacturing cell-based workshop

CHU Hong-yan, CAO Quan-jun, FEI Ren-yuan

《机械工程前沿（英文）》 2006年 第1卷 第4期   页码 375-380 doi: 10.1007/s11465-006-0043-x

摘要： The task of production scheduling is to determine the detailed machining path, time, machine tool, etc., for every work piece, according to the production objective and constraints. It is also an important part of the manufacturing system. In this paper, the manufacturing cell-based workshop is described and its scheduling system structure is established based on MAS (multi-agent system) technology. Through the negotiation and communication of each agent, the machining path is determined and the machining sequence and start time are calculated by GA (genetics algorithm). The communication among agents uses the CORBA (common object request broker architecture) technology of the OMG (Object Management Group). The CORBA-based architecture of the communication is designed and some interfaces for the communication are listed. For the genetics algorithm, chromosome coding, fitness function, parameters selection, and the basic genetics operation including selection, crossover and aberrance, are described. The scheduling system also can deal with some abnormal conditions, such as machine tool failure and urgent tasks. Finally, two scheduling examples are given.

关键词： negotiation     selection     multi-agent     communication     abnormal    

HTML PDF 收藏

MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

《能源前沿（英文）》 2021年 第15卷 第1期   页码 186-200 doi: 10.1007/s11708-019-0644-9

摘要： In this paper, interval number optimization and model predictive control are proposed to handle the uncertain-but-bounded parameters in electric water heater load scheduling. First of all, interval numbers are used to describe uncertain parameters including hot water demand, ambient temperature, and real-time price of electricity. Moreover, the traditional thermal dynamic model of electric water heater is transformed into an interval number model, based on which, the day-ahead load scheduling problem with uncertain parameters is formulated, and solved by interval number optimization. Different tolerance degrees for constraint violation and temperature preferences are also discussed for giving consumers more choices. Furthermore, the model predictive control which incorporates both forecasts and newly updated information is utilized to make and execute electric water heater load schedules on a rolling basis throughout the day. Simulation results demonstrate that interval number optimization either in day-ahead optimization or model predictive control format is robust to the uncertain hot water demand, ambient temperature, and real-time price of electricity, enabling customers to flexibly adjust electric water heater control strategy.

关键词： electric water heater     load scheduling     interval number optimization     model predictive control     uncertainty    

HTML PDF 收藏

Optimal generation scheduling in power system using frequency prediction through ANN under ABT environment

Simarjit KAUR, Yajvender Pal VERMA, Sunil AGRAWAL

《能源前沿（英文）》 2013年 第7卷 第4期   页码 468-478 doi: 10.1007/s11708-013-0282-6

摘要： In a competitive and deregulated power scenario, the utilities try to maintain their real electric power generation in balance with the load demand, which creates a need for the precise real time generation scheduling (GS). In this paper, the GS problem is solved to perform the unit commitment (UC) based on frequency prediction by using artificial neural network (ANN) with the objective to minimize the overall system cost of the state utility. The introduction of availability-based tariff (ABT) signifies the importance of frequency in GS. Under-prediction or over-prediction will result in an unnecessary commitment of generating units or buying power from central generating units at a higher cost. Therefore, an accurate frequency prediction is the first step toward optimal GS. The dependency of frequency on various parameters such as actual generation, load demand, wind power and power deficit has been considered in this paper. The proposed technique provides a reliable solution for the input parameter different from the one presented in the training data. The performance of the frequency predictor model has been evaluated based on the absolute percentage error (APE) and the mean absolute percentage error (MAPE). The proposed predicted frequency sensitive GS model is applied to the system of Indian state of Tamilnadu, which reduces the overall system cost of the state utility by keeping off the dearer units selected based on the predicted frequency.

关键词： artificial neural network (ANN)     frequency prediction     availability-based tariff (ABT)     generation scheduling (GS)    

HTML PDF 收藏

Conceptualising the nexus of projects, finance and capacity in construction business

Arun BAJRACHARYA, Stephen Olu OGUNLANA, Cheng Siew GOH, Hai Chen TAN

《工程管理前沿（英文）》 2018年 第5卷 第3期   页码 289-297 doi: 10.15302/J-FEM-2018021

摘要：

This paper addresses a research question on why construction companies fail in their business. Starting with the concept of growth and capacity underinvestment archetype, a new and operational systems thinking model is developed. The conceptual systems thinking model includes a set of causal structure that can explain various modes (including the growth and failure modes) of business performance of small and medium construction companies. Mainly the three components – projects, finance and capacity – and the understanding of their nexus (or causal inter-relationships) are found to be sufficient to reveal different performance modes in construction business. Further, the three operational aspects, namely, the business growth or decline process; the situation of financial and other capacity resource consumption; and the management of projects, finance and other capacity resources have been identified as the inter-related core and integral aspects of construction business. The three inter-related core aspects could actually include and explain different possible range of business situations, policies and practices in a construction company.

关键词： performance of construction business     projects     finance     capacity     systems thinking    

HTML PDF 收藏

基于变量分离的生产调度空间划分算法

高永超,李歧强,丁然,郭庆强

《中国工程科学》 2006年 第8卷 第9期   页码 61-64

摘要：

静态生产调度大多形成MILP或MINLP模型，由于调度规模大及混合整数规划的组合优化特性，造成调度求解困难。通过对混合整数规划模型空间的分析，提出依据整数变量和连续变量的分离策略进行空间的自然划分，从而将模型的求解转化为多个较小规模连续子空间的寻优。对典型间歇调度模型的分析表明，将空间划分后进行连续寻优的策略较大地降低了实际运算的规模，降低了求解难度，可以提高问题的求解速度和效率。

关键词： 生产调度     空间划分     半限定方法    

HTML PDF 收藏

基于模糊规划的间歇过程生产调度建模

张虹,李歧强

《中国工程科学》 2004年 第6卷 第10期   页码 65-70

摘要：

通过对现有生产调度模糊模型的分析，针对间歇生产过程，提出了一种新颖的参数模糊的通用模糊规划建模方法，模糊模型采用2种基于普通遗传算法的模糊算法，即模糊模拟和SFA算法。该方法中，参数隶属函数选取灵活，采用合适的模糊表示方式。最后通过实例验证了该模糊建模方法是一种有效的方法。

关键词： 生产调度     模糊规划     间歇生产过程     隶属函数    

HTML PDF 收藏

标题 作者 时间 类型 操作

Multi-objective optimization for the multi-mode finance-based project scheduling problem

Sameh Al-SHIHABI, Mohammad AlDURGAM

期刊论文

An overview of the environmental finance policies in China: retrofitting an integrated mechanism for

LI Wei,HU Mengze

期刊论文

A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

期刊论文

Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

期刊论文

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

期刊论文

Blockchain-driven supply chain finance solution for small and medium enterprises

Jian LI, Shichao ZHU, Wen ZHANG, Lean YU

期刊论文

Finance infrastructure through blockchain-based tokenization

Yifeng TIAN, Zheng LU, Peter ADRIAENS, R. Edward MINCHIN, Alastair CAITHNESS, Junghoon WOO

期刊论文

Optimization of multi-objective integrated process planning and scheduling problem using a priority based

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

期刊论文

Developing a new model for simultaneous scheduling of two grand projects based on game theory and solving

Loghman PIRI, Vahidreza GHEZAVATI, Ashkan HAFEZALKOTOB

期刊论文

MAS-based production scheduling system for manufacturing cell-based workshop

CHU Hong-yan, CAO Quan-jun, FEI Ren-yuan

期刊论文

MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

期刊论文

Optimal generation scheduling in power system using frequency prediction through ANN under ABT environment

Simarjit KAUR, Yajvender Pal VERMA, Sunil AGRAWAL

期刊论文

Conceptualising the nexus of projects, finance and capacity in construction business

Arun BAJRACHARYA, Stephen Olu OGUNLANA, Cheng Siew GOH, Hai Chen TAN

期刊论文

基于变量分离的生产调度空间划分算法

高永超,李歧强,丁然,郭庆强

期刊论文

基于模糊规划的间歇过程生产调度建模

张虹,李歧强

期刊论文